P.136: Prediction model to prevent kidney disease progression in potential kidney donor.

Abstract

Background: This study aim to systematize long-term follow-up methods of donors by investigating the serum or urine markers associated with creatinine elevation. Methods: We conducted this study using prospective kidney donor from 2014 to July 31, 2016 in KOTRY data. There were 1,498 patients who donated kidney during study period. After excluding kidney donors serum creatinine at baseline & 1 year after donation, 526 donors remained. We used logistic regression to estimate the association between various baseline parameters and change eGFR 1 year after donation. Results: •The mean age of the overall cohort was 44.6 ± 12 years and the median eGFR of overall cohort was 103 ml/min/1.73m2. There were no significant difference between change in eGFR <30% and >30% group. Interestingly, Patients in decreased eGFR >30% category were more likely to have higher serum albumin. •Older age was associated with higher likelihood of decreased eGFR in univariate logistic regression model. Older age was also associated with higher likelihood of decreased eGFR in multivariate logistic regression model by adjusted age, female, systolic BP, BMI, and baseline eGFR. eGFR tends to decrease and Cr tends to increase over time after transplantation. At age 46, the risk of eGFR >30% decline increased with age after transplantation over 1 year. This trend was remained after adjustment with age, female, systolic BP, BMI, and baseline eGFR. Conclusions: •526 living kidney donors registered in KOTRY were analyzed. eGFR tended to decrease and Cr tended to increase over time after transplantation. Older age was associated with higher likelihood of decreased eGFR. •Unfortunately, there was relatively small number of donors included in this study and short period of follow up. Long-term follow up study to understand the risk factors of impaired renal function in living kidney donors is needed.